Abstract: Traditional machine translation methods face problems such as low translation quality and limited model generalization ability. This study is based on the Transformer architecture and ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...

RPG Larian's head writer has a simple answer for how AI-generated text helps development: 'It doesn't,' thanks to its best output being 'a 3/10 at best' worse than his worst drafts RPG Larian swears ...

This study compares the quality of English-to-Arabic translations produced by Google Translate (GT) with those generated by student translators. Despite advancements in neural machine translation ...

Monolingual data have been demonstrated to be helpful in improving translation quality of both statistical machine translation (SMT) systems and neural machine translation (NMT) systems, especially in ...

It’s working with the US National Hurricane Center to test out its new AI-based tropical cyclone model. It’s working with the US National Hurricane Center to test out its new AI-based tropical cyclone ...

Welcome to the official repository for MT-R1-Zero, the first open-source adaptation of the R1-Zero Reinforcement Learning (RL) paradigm for Machine Translation (MT). MT-R1-Zero achieves highly ...

The Markup, now a part of CalMatters, uses investigative reporting, data analysis, and software engineering to challenge technology to serve the public good. Sign up for Klaxon, a newsletter that ...

Swiss-based language services provider Supertext has presented its top tips and recommendations for companies to reposition their language services to AI-first models at SlatorCon Remote on March 18, ...